# rmurphey/js-assessment

A test-driven approach to assessing JS skills

Repository: https://github.com/rmurphey/js-assessment
Canonical: https://ross.abutalabs.com/products/js-assessment
Language: JavaScript
License Family: other
Archived: true
Last push: 2023-01-26T17:23:29+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5257, "days_push": 1315, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5145, forks 2012 (observed 2026-08-28T04:09:11.292593+00:00)

## What it is
A set of failing JavaScript tests that developers make pass, used to assess or improve JavaScript skills. It serves as both a candidate assessment tool for hiring and a self-paced learning exercise.

## Use cases
- assess JavaScript skills of a job candidate
- practice JavaScript by making failing tests pass
- prepare for a JavaScript interview
- evaluate my own JS proficiency
- learn test-driven development in JavaScript

## When to choose
- you want a hands-on, test-driven way to gauge or improve JavaScript fundamentals
- you need a practical coding exercise for interviewing JS candidates

## When to avoid
- you need a maintained library or production tool - this is an exercise repo, not software to depend on
- you want up-to-date tooling or an actively developed project

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: testing, developer-tools
- domain: education, tutorials, developer-tools
- platform: browser, cross-platform
- tags: javascript-skills, test-driven-learning, coding-assessment, mocha, chai, interview-prep, self-assessment, javascript, nodejs

## Member repositories
- rmurphey/js-assessment (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:11.292593+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:01:58.183053+00:00, confidence not recorded.
  - readme: https://github.com/rmurphey/js-assessment (fetched 2026-08-28T04:09:11.292593+00:00, sha b462b7cd5f01)
- Data as of 2026-08-30T08:39:29.467469+00:00.